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Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance

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  • Sari, Kazim

Abstract

This paper is aimed at providing a framework to help managers of a supply chain enterprise determine the appropriate operational and environmental conditions under which investing in radio frequency identification (RFID) technology is more beneficial. For this purpose, a four-echelon supply chain that is operated under different levels of collaboration is examined in a comprehensive simulation model. Results from the simulation model show that integrating RFID technology within a supply chain provides significantly greater benefits when the level of collaboration between the participants is more intensive. In addition, the results also show that these benefits are stronger when lead times are longer and/or when demand uncertainty in marketplace is lower.

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  • Sari, Kazim, 2010. "Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance," European Journal of Operational Research, Elsevier, vol. 207(1), pages 174-183, November.
    • Handle: RePEc:eee:ejores:v:207:y:2010:i:1:p:174-183
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    Cited by:

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    2. Rekha Guchhait & Sarla Pareek & Biswajit Sarkar, 2019. "How Does a Radio Frequency Identification Optimize the Profit in an Unreliable Supply Chain Management?," Mathematics, MDPI, vol. 7(6), pages 1-19, May.
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    4. Ngai, Eric W.T. & Cheung, Bernard K.S. & Lam, S.S. & Ng, C.T., 2014. "RFID value in aircraft parts supply chains: A case study," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 330-339.
    5. Reyes, Pedro M. & Li, Suhong & Visich, John K., 2016. "Determinants of RFID adoption stage and perceived benefits," European Journal of Operational Research, Elsevier, vol. 254(3), pages 801-812.
    6. Deepak Prashar & Nishant Jha & Sudan Jha & Yongju Lee & Gyanendra Prasad Joshi, 2020. "Blockchain-Based Traceability and Visibility for Agricultural Products: A Decentralized Way of Ensuring Food Safety in India," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
    7. Lee, Jongkuk & Palekar, Udatta S. & Qualls, William, 2011. "Supply chain efficiency and security: Coordination for collaborative investment in technology," European Journal of Operational Research, Elsevier, vol. 210(3), pages 568-578, May.
    8. Bo Yan & Xiaoxu Chen & Qin Yuan & Xiaotai Zhou, 2020. "Sustainability in fresh agricultural product supply chain based on radio frequency identification under an emergency," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(4), pages 1343-1361, December.
    9. Aiello, Giuseppe & Enea, Mario & Muriana, Cinzia, 2015. "The expected value of the traceability information," European Journal of Operational Research, Elsevier, vol. 244(1), pages 176-186.
    10. Piramuthu, Selwyn & Wochner, Sina & Grunow, Martin, 2014. "Should retail stores also RFID-tag ‘cheap’ items?," European Journal of Operational Research, Elsevier, vol. 233(1), pages 281-291.
    11. Rosales, Claudia R. & Magazine, Michael & Rao, Uday, 2015. "The 2Bin system for controlling medical supplies at point-of-use," European Journal of Operational Research, Elsevier, vol. 243(1), pages 271-280.
    12. Guo, Z.X. & Ngai, E.W.T. & Yang, Can & Liang, Xuedong, 2015. "An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment," International Journal of Production Economics, Elsevier, vol. 159(C), pages 16-28.
    13. Serkan Alacam & Asli Sencer, 2021. "Using Blockchain Technology to Foster Collaboration among Shippers and Carriers in the Trucking Industry: A Design Science Research Approach," Logistics, MDPI, vol. 5(2), pages 1-24, June.
    14. Zhong, Ray Y. & Huang, George Q. & Lan, Shulin & Dai, Q.Y. & Chen, Xu & Zhang, T., 2015. "A big data approach for logistics trajectory discovery from RFID-enabled production data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 260-272.
    15. Cheng, Yu & Huang, Lucheng & Ramlogan, Ronnie & Li, Xin, 2017. "Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 170-183.
    16. Lei, Quansheng & Chen, Jian & Wei, Xingyu & Lu, Shan, 2015. "Supply chain coordination under asymmetric production cost information and inventory inaccuracy," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 204-218.
    17. Bartlomiej Gladysz & Krzysztof Ejsmont & Aldona Kluczek & Donatella Corti & Stanislaw Marciniak, 2020. "A Method for an Integrated Sustainability Assessment of RFID Technology," Resources, MDPI, vol. 9(9), pages 1-24, September.
    18. Suman Kalyan Sardar & Biswajit Sarkar, 2020. "How Does Advanced Technology Solve Unreliability Under Supply Chain Management Using Game Policy?," Mathematics, MDPI, vol. 8(7), pages 1-16, July.
    19. Dettenbach, Marcus & Thonemann, Ulrich W., 2015. "The value of real time yield information in multi-stage inventory systems – Exact and heuristic approaches," European Journal of Operational Research, Elsevier, vol. 240(1), pages 72-83.

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